Research on the calculation model of mid-infrared reflectivity of vegetation based on VIIRS data

Based on sensor VIIRS, this article establishes a nonlinear split-window model suitable for calculating vegetation reflectivity of the mid-infrared channel M12 of VIIRS. The model is based on the split-window algorithm and the idea of using two mid-infrared channels to invert the reflectivity of one channel. Analysis shows that the uncertainty caused by various error sources to the model is only 0.82%, so it is believed that this model is suitable for calculating the vegetation reflectivity of mid-infrared channel M12 of VIIRS. This article uses the split-window model to calculate the mid-infrared reflectivity of multiple vegetation research sites in China and its surrounding areas of VIIRS image. The reflectivity of dense vegetation are relatively stable and within a small range, while the reflectivity of low-sparse vegetation are large and have significant differences. These values are consistent with actual data, indicating that the mid-infrared reflectivity obtained by this research model has potential in evaluating large-scale forest volume.